c4-matlab

matlab数据导入导出，支持文本、音频、视频及其他数据类型(matlab data import and export, support for text, audio, video and other data types)

image compression using btc algorithm. matlab program. This function accepts an image(color or gray) and compresses it using the block truncation coding. (btc using image compression algorithm. Ma tlab program. This function accepts an image (c olor or gray) and compresses it using the block t runcation coding.)

详细介绍了双馈感应发电机系统，包括转子侧和网侧控制系统(The doubly fed induction generator system is introduced in detail.)

块自适应处理算法先有采样快拍数据计算采样协方差矩阵，再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。(Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical block adaptive processing algorithms for the sample matrix inversion (SMI) algorithm. Simulation of the sampling matrix inversion method (SMI) beamforming pattern sidelobe level of the signal by the number of snapshots.)

this matlab source code is for starting

CLAHE的matlab实现算法，经过测试可用。(CLAHE the matlab algorithm, tested available.)

包含五个abaqus UMAT裂纹、蠕变等不同的本构程序(abaqus UMAT)

matlab的命令，很全很给力，大家可以作为字典用(Matlab command very wide to the force, we can use as a dictionary )

The F5 algorithm embeds message bits into randomly-chosen DCT coefficients and employs matrix embedding that minimizes the necessary number of changes to embed a message of certain length.

粒子群算法OptSwarm记录每个粒子的历史最优解（粒子历史最好的适应度）以及全部粒子搜索到的全局最优解。用Wg代表全局最优解，W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同，而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )